MCP.Market

Averray MCP server

online · 100% uptime
by averray.com·com.averray/mcp·v1.1.0

Paid agent work and paid verification, settled in USDC. Verified outcomes get signed receipts.

B81/100grade B
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How Averray compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
81/100
higher than 63% of 4,460 AI and agents servers
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
460 ms
faster than 29% of 2,331 AI and agents servers

Release history: 2 versions in the registry since 2026-08-07, latest 2026-10-09, typically one every 63 days.

Install Averray in Claude Code, Cursor or VS Code

claude mcp add --transport http mcp https://api.averray.com/mcp
Add to Cursor

What the publisher says

From the Averray repository's README, as published. We do not edit it. Read it on GitHub

Polkadot Agent Platform

This repository contains a greenfield implementation of an agent-first treasury and job runtime:

  • Foundry contracts for account, escrow, policy, strategy registry, and reputation
  • A shared service layer exposed through HTTP and directory-safe MCP discovery
  • Discovery and indexing scaffolds for later hosted deployment

Launch posture and trust documents:

  • Production readiness checklist
  • Threat model
  • No token statement
  • Week-12 bootstrap gate
  • Product-proof gate
  • Arbitration migration
  • Dispute reason-code registry
  • Service token operator pack

The mcp-server workspace currently uses a JavaScript runtime source tree. There is no parallel TypeScript build step to maintain.

Development setup

After cloning, install the git hooks once so staged commits are scanned for accidentally-staged .env files and private-key-shaped strings:

./scripts/install-hooks.sh

Run the full test matrix locally:

npm test               # backend + frontend + forge
npm run typecheck:indexer

CI runs the same four jobs on every push to main and every PR via .github/workflows/ci.yml.

Multi-agent branch start

Before any agent starts new work, create its branch through the guarded helper:

./scripts/ops/start-agent-branch.sh codex/your-task-name

The helper fetches origin, switches local main to the latest origin/main, fast-forwards only, then creates the new branch. This keeps each agent from starting work on a stale local main.

Local deployment flow

  1. Start a local Anvil chain:
./scripts/start_anvil.sh
  1. In another terminal, deploy and configure the contract suite:
./scripts/deploy_contracts.sh
  1. Export the addresses returned by the deploy script and write a server env file:
export AGENT_ACCOUNT_ADDRESS=0x...
export ESCROW_CORE_ADDRESS=0x...
export REPUTATION_SBT_ADDRESS=0x...
export DISCOVERY_REGISTRY_ADDRESS=0x...
export TREASURY_POLICY_ADDRESS=0x...
export MOCK_DOT_ADDRESS=0x...
./scripts/write_server_env.sh
  1. Start the service:
cd mcp-server
set -a
source .env.local
set +a
npm run start:http

The HTTP adapter will use live on-chain reads and signed writes whenever the env file contains a valid RPC URL, signer key, and deployed contract addresses.

The live API now also exposes a push-only SSE stream at /events behind the app proxy as /api/events.

If you want durable sessions and verifier results, also set:

REDIS_URL=redis://...
REDIS_NAMESPACE=agent-platform

Without REDIS_URL, the service falls back to in-memory state for local development.

Pimlico / ERC-4337 gas sponsorship

The hosted API can now expose a minimal Pimlico-backed gas sponsorship surface when these env vars are set:

PIMLICO_BUNDLER_URL=https://...
PIMLICO_PAYMASTER_URL=https://...
PIMLICO_ENTRY_POINT=0x...
PIMLICO_SPONSORSHIP_POLICY_ID=...
PIMLICO_CHAIN_ID=...

Once configured, the HTTP server exposes:

  • GET /gas/health
  • GET /gas/capabilities
  • POST /gas/quote
  • POST /gas/sponsor

These endpoints are intended for ERC-4337 user operation quoting and sponsorship. They do not replace the current direct signer flow yet; they add the hosted gas-management path so the platform can evolve toward smart-account execution.

To verify Redis-backed resumability across separate runtimes:

cd mcp-server
set -a
source .env.local
export REDIS_URL=redis://...
set +a
npm run check:redis

That check creates a session in one runtime, verifies it, then loads the same session/result through a second runtime to prove persistence.

End-to-end local demo

With Anvil running and mcp-server/.env.local populated, run:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Averray: common questions

Is Averray MCP server safe?
Mostly: it is graded B (81/100). Read the Averray safety report
How do I install Averray?
It runs remotely at api.averray.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Averray need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Averray maintained?
The last commit was 35 days ago (2026-09-30). The latest release is v1.1.0.
Is Averray up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Averray?
Servers from other publishers that do the same job: Emilia Protocol MCP server, Agoragentic Agent OS MCP server and Mnemoverse Memory MCP server.
How does Averray compare with other AI and agents MCP servers?
safety score 81/100 (higher than 63% of 4,460 AI and agents servers); uptime 100% (of our recent checks; the typical remote AI and agents server answers 100%); response time 460 ms (faster than 29% of 2,331 AI and agents servers). Full comparison.

Alternatives to Averray

Same job from other publishers: the closest match first, then the best rated.

  • Emilia Protocol
    Exact-action approval for consequential agent actions: request, track, and verify signed receipts.
    B
  • Agoragentic Agent OS MCP
    Triptych OS (Agent OS) MCP for governed routing, receipts, and USDC settlement on Base.
    B
  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A
  • three.ws 3D Agent Tools
    MCP tools from three.ws: free + paid text-to-3D, rigging, agent reputation, market intel.
    B
  • Attestix
    AI agent identity, signed credentials, delegated authority and governance evidence.
    A